Mahsa Ahmadloo

13 total papers · 609 total citations
12 papers, 499 citations indexed

About

Mahsa Ahmadloo is a scholar working on Health, Toxicology and Mutagenesis, Analytical Chemistry and Food Science. According to data from OpenAlex, Mahsa Ahmadloo has authored 12 papers receiving a total of 499 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Health, Toxicology and Mutagenesis, 3 papers in Analytical Chemistry and 2 papers in Food Science. Recurrent topics in Mahsa Ahmadloo's work include Effects and risks of endocrine disrupting chemicals (8 papers), Toxic Organic Pollutants Impact (6 papers) and Analytical chemistry methods development (3 papers). Mahsa Ahmadloo is often cited by papers focused on Effects and risks of endocrine disrupting chemicals (8 papers), Toxic Organic Pollutants Impact (6 papers) and Analytical chemistry methods development (3 papers). Mahsa Ahmadloo collaborates with scholars based in Iran, Brazil and Egypt. Mahsa Ahmadloo's co-authors include Nabi Shariatifar, Mojtaba Moazzen, Amin Kiani, Shahrokh Nazmara, Gholamreza Jahed Khaniki, Amin Mousavi Khaneghah, Ali Azari, Abbas Norouzian Baghani, Majid Arabameri and Sina Dobaradaran and has published in prestigious journals such as Environmental Science and Pollution Research, Journal of Food Composition and Analysis and Arabian Journal of Chemistry.

In The Last Decade

Mahsa Ahmadloo

12 papers receiving 499 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Mahsa Ahmadloo 270 122 115 62 57 12 499
Laura Martín-Pozo 191 0.7× 214 1.8× 126 1.1× 36 0.6× 30 0.5× 23 498
Huan He 179 0.7× 131 1.1× 234 2.0× 110 1.8× 35 0.6× 25 615
Zhoufei Luo 195 0.7× 215 1.8× 61 0.5× 84 1.4× 29 0.5× 25 499
Teresa Pérez-Corona 172 0.6× 91 0.7× 163 1.4× 58 0.9× 30 0.5× 18 521
J. Riu 145 0.5× 111 0.9× 238 2.1× 38 0.6× 40 0.7× 15 492
Jing Lu 122 0.5× 169 1.4× 98 0.9× 41 0.7× 91 1.6× 22 488
Yeuk‐Ki Tsoi 133 0.5× 99 0.8× 228 2.0× 73 1.2× 69 1.2× 13 486
Prapha Arnnok 156 0.6× 155 1.3× 155 1.3× 38 0.6× 59 1.0× 7 455
A. Jakimska 239 0.9× 402 3.3× 189 1.6× 68 1.1× 64 1.1× 10 616
Weike Zhong 130 0.5× 227 1.9× 115 1.0× 37 0.6× 88 1.5× 23 576

Countries citing papers authored by Mahsa Ahmadloo

Since Specialization
Citations

This map shows the geographic impact of Mahsa Ahmadloo's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mahsa Ahmadloo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mahsa Ahmadloo more than expected).

Fields of papers citing papers by Mahsa Ahmadloo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mahsa Ahmadloo. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mahsa Ahmadloo. The network helps show where Mahsa Ahmadloo may publish in the future.

Co-authorship network of co-authors of Mahsa Ahmadloo

This figure shows the co-authorship network connecting the top 25 collaborators of Mahsa Ahmadloo. A scholar is included among the top collaborators of Mahsa Ahmadloo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mahsa Ahmadloo. Mahsa Ahmadloo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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